Technical reports
All Thynaptic publications follow our standardized documentation framework. Reports are organized by type: System Cards, Framework Reports, Whitepapers, and Research Briefs.
Comparative Local-First Architectures
Framework Report
Analysis of local-first AI architectures with emphasis on routing efficiency, offline capability, and privacy-preserving inference patterns. Compares Mavaia hybrid approach achieving 96.7% local routing success with cloud-first systems.
Adaptive Personality Kernel
System Card
Specification for the Adaptive Personality Kernel (APK/ARTE) including twelve personality archetypes, dynamic tone calibration, and conversation flow analysis. Implements semantic similarity-based topic detection and sass factor calculation.
Thynaptic Research Positioning
Research Brief
Strategic positioning document outlining Thynaptic's contributions to cognitive AI architecture and mechanism-first research methodology. Documents three first-of-its-kind implementations: emotional memory (78% accuracy), predictive reflection (72% accuracy), and ARTE (78% accuracy).
Comparative Reasoning Systems
Technical Analysis
Evaluation of multi-step reasoning frameworks: Mavaia ACL reasoning vs. deep reasoning models (Google Deep Think, DeepSeek R1, Pathway Deep Research). Documents conditional activation (15% trigger rate), Python brain modules, and +12.3% accuracy improvement.
Mavaia Model Card
System Card
Complete technical specification for Mavaia — cognitive infrastructure for sovereign organizations. Includes architectural overview, 78+ brain modules, and deployment specifications.
Comparative Composer Systems
Framework Report
Analysis of AI-assisted composition systems: Mavaia Composer vs. ChatGPT Canvas. Covers architectural differences, AI integration patterns, and workspace connectivity.
Comparative Research Systems
Technical Analysis
Comparison of Mavaia ResearchReasoningAgent and OpenAI Deep Research. Analyzes multi-step reasoning processes, tool integration, and operational constraints.
Mavaia ACL Architecture
Whitepaper
Internal architecture specification for Mavaia's Adaptive Cognitive Layer. Documents the 10-component pipeline, memory systems, and routing logic.
Emotional Memory Architecture
System Card
Complete specification for Mavaia's emotional memory system achieving 78% accuracy in user-validated emotional context encoding. Documents workspace object tagging, emotional state encoding, and memory retrieval patterns.
Cognitive MMLU Framework
Framework Report
Evaluation framework for cognitive capabilities in AI assistants. Documents 27-question initial evaluation across intent classification, memory systems, reasoning depth, and safety validation. Expanding to 300-600 questions.
Predictive Reflection Engine
System Card
Specification for Mavaia's predictive cognition system achieving 72% forecast accuracy and 73% drift detection. Documents temporal pattern analysis, user behavior prediction, and proactive suggestion generation.
Context Assembly & Ranking
Technical Analysis
Specification for Mavaia's Context Priority System (CPS) achieving 85% ranking relevance and 420ms assembly latency. Documents semantic ranking, recency weighting, and priority scoring algorithms.
Safety Validation Pipeline
System Card
Specification for Mavaia's multi-stage safety validation achieving 94% hallucination detection and 97% constraint enforcement. Documents fact verification, source grounding, and confidence calibration.
Intent Classification System
System Card
Specification for Mavaia's intent classification achieving 78% accuracy across 12 query categories. Documents lightweight classifier architecture, intent routing, and category definitions.
ARTE State Detection
System Card
Specification for ARTE (Adaptive Reflection & Temporal Engagement) achieving 78% emotional-cognitive state detection with <100ms latency and <2% CPU usage. Documents five-state model and detection algorithms.
Mavaia Cloud Routing
Technical Analysis
Cloud-only inference performance evaluation using Ollama Cloud API. Documents 94.83% MMLU accuracy with 4,057ms average latency using gpt-oss:20b.
Hybrid Model Routing
Technical Analysis
Architecture specification for Mavaia's HybridBridgeService achieving 96.7% local routing success. Documents intelligent routing between local models (Ollama) and cloud fallback, capability detection, and performance optimization.
Thynaptic Human-AI Interface Protocol
Framework Report
A structured communication framework governing interactions between users and Mavaia's Adaptive Cognitive Layer. Defines dual-mode routing, natural language intent classification, and action translation pathways.
Python Brain Module Architecture
Whitepaper
A plug-and-play intelligence framework structuring separation of concerns between Swift personality synthesis and Python cognitive processing within Mavaia's Adaptive Cognitive Layer.
Adaptive Style Learning
Framework Report
Architectural framework for user communication pattern adaptation in C-LLMs. Documents real-time style analysis, persistent preference learning, and dynamic instruction generation achieving 85% style detection accuracy.
Semantic Memory Clustering
Framework Report
Architectural framework for theme discovery through DBSCAN clustering in C-LLMs. Achieves 82% theme discovery accuracy through density-based clustering on conversation embeddings.
Cross-Conversation Continuity
Framework Report
Architectural framework for persistent memory across conversation sessions in C-LLMs. Documents conversation summarization, digest systems, and memory integration for cross-session continuity.
Cognitive-Local Intelligence
Research Brief
Defines Cognitive-Local Intelligence as a new intelligence paradigm emerging from adaptive cognitive architecture with local-first deployment. Documents how intelligence manifests through architectural components rather than model training alone.
Reasoning Routing
Technical Analysis
Architectural framework for conditional reasoning activation in C-LLMs. Documents complexity-based routing to specialized modules achieving +12.3% accuracy improvement over baseline.
Adaptive Cognitive Layer
Whitepaper
Complete specification for Mavaia's 10-component Adaptive Cognitive Layer pipeline. Documents intent classification, memory systems, reasoning routing, safety validation, and style adaptation.
Cognitive-Local Language Models
Research Brief
Defines C-LLMs as a new category of language model systems integrating adaptive cognitive architectures with local-first deployment. Presents Mavaia as the first production implementation.
FocusOS: Cognitive Workspace Orchestration
System Card
Specification for FocusOS v0.1, a focus-first operating system layer for managing cognitive workspaces and session continuity.
27 of 27 reports shown
All reports follow the Thynaptic House Style Guide — mechanism-first, evidence-grounded.